Analysis of Musical Instruments for Signal to Noise Ratio, Distortion and Retained Signal Energy using Wavelet TransformJournal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.3, No. 7)
Publication Date: 2014-07-30
Authors : Prakhar Mohan Mathur; Apoorva Kesarwani;
Page : 103-105
Keywords : DWT; Signal to Noise Ratio; Distortion; Signal Energy; Audio Compression;
In Audio Compression there is an inevitable need to effectively decrease the file size of the sample without compromising the quality of the signal. The quality of a signal is observed by the analysis of important parameters such as Signal to Noise Ratio, Distortion and Energy which provides us the measurement of the undesirable sound in the given sample. This paper uses the upcoming technique of Discrete Wavelet Transform[1,6] to analyses the Signal to Noise Ratio, Distortion and Retained Signal Energy for various musical instruments like Tabla, Harmonium and Shehnai. These parameters are compared for the musical instruments on MATLAB 7.1 R2009 on an Intel i-5 processor based system.
Other Latest Articles
Last modified: 2014-08-04 17:28:02